import matplotlib.pyplot as plt
import numpy as np

y = np.arange(0.0, 2, 0.01)
x1 = np.sin(2 * np.pi * y)
x2 = 1.2 * np.sin(4 * np.pi * y)

fig, [ax1, ax2, ax3] = plt.subplots(3, 1, sharex=True)

ax1.fill_betweenx(y, 0, x1,where=x1>0,facecolor='#20B2AA')
ax1.fill_betweenx(y, 0, x1,where=x1<0,facecolor='#32CD32')
ax1.set_ylabel('(x1, 0)')

ax2.fill_betweenx(y, x1, 1)
ax2.set_ylabel('(x1, 1)')

ax3.fill_betweenx(y, x1, x2)
ax3.set_ylabel('(x1, x2)')
ax3.set_xlabel('x')
plt.savefig('2')
# now fill between x1 and x2 where a logical condition is met.  Note
# this is different than calling
#   fill_between(y[where], x1[where], x2[where])
# because of edge effects over multiple contiguous regions.

fig, [ax, ax1] = plt.subplots(2, 1, sharex=True)
ax.plot(x1, y, x2, y, color='black')
ax.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
ax.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
ax.set_title('fill between where')

# Test support for masked arrays.
x2 = np.ma.masked_greater(x2, 1.0)
ax1.plot(x1, y, x2, y, color='black')
ax1.fill_betweenx(y, x1, x2, where=x2 >= x1, facecolor='green')
ax1.fill_betweenx(y, x1, x2, where=x2 <= x1, facecolor='red')
ax1.set_title('Now regions with x2 > 1 are masked')

# This example illustrates a problem; because of the data
# gridding, there are undesired unfilled triangles at the crossover
# points.  A brute-force solution would be to interpolate all
# arrays to a very fine grid before plotting.
plt.savefig('1')